Update app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "thrishala/mental_health_chatbot"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+def generate_response(user_input):
+    inputs = tokenizer.encode(user_input + tokenizer.eos_token, return_tensors="pt")
+    output = model.generate(inputs, max_length=250, pad_token_id=tokenizer.eos_token_id)
+    response = tokenizer.decode(output[:, inputs.shape[-1]:][0], skip_special_tokens=True)
+    return response
+
+interface = gr.Interface(
+    fn=generate_response,
+    inputs="text",
+    outputs="text",
+    title="Mental Health Chatbot",
+    description="A chatbot providing empathetic support and resources for mental health."
+)
+
+if __name__ == "__main__":
+    interface.launch()